Dispositioned to resist? The Big Five and resistance to dissonant political views
Bibliographic record
Abstract
This article investigates how dispositional traits influence the way individuals resist dissonant political information. More specifically, the relationship between the Big Five personality traits and four resistance strategies (avoidance, contesting, empowering, and negative affect) is explored. To do so, we present new evidence from an online survey where respondents from a Swiss sample (N = 936) were exposed to tailored counterarguments on a political initiative and asked to report their cognitive, behavioral, and affective responses to the dissonant messages. Against our expectations, openness is unrelated to any type of resistance. Conscientious individuals are hesitant to actively resist counter-attitudinal political information, while extraverts defend their attitude by bolstering their preexisting views. Similar tendencies are visible for agreeable respondents, although these individuals primarily rely on avoiding dissonant political content. Individuals high on neuroticism exhibit a strong emotional response by reacting with negative affect to oppositional political information.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".